Overview

Dataset statistics

Number of variables17
Number of observations260
Missing cells267
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.7 KiB
Average record size in memory140.5 B

Variable types

Text4
Categorical6
DateTime6
Numeric1

Dataset

DescriptionLX전자도달 입찰계획 정보입니다. 입찰공고번호, 입찰공고번호 차수, 입찰구분, 입찰건명, 공고일자, 긴급입찰여부, 계약방법코드, 낙찰자선정 방법코드, 복수예가여부코드, 합산비율코드, 입찰성명회여부, 입찰셩명회 장소, 공동수급의무여부코드, 입찰참가자격, 지체상금율, 하자보증율, 납품장소, 납품기간, 입찰성명회일시, 입찰참가신청시작시각, 입찰참가신청종료시각, 입찰서 제출 시작시간, 입찰서 제출 종료시간, 개찰일시, 품목명, 입찰상태 코드 등의 정보를 포함합니다.
Author한국국토정보공사
URLhttps://www.data.go.kr/data/15049656/fileData.do

Alerts

입찰참가자격.1 is highly overall correlated with 예산금액 and 5 other fieldsHigh correlation
납품장소 is highly overall correlated with 예산금액 and 5 other fieldsHigh correlation
지체상금율 is highly overall correlated with 입찰참가자격.1 and 3 other fieldsHigh correlation
입찰공고번호차수 is highly overall correlated with 입찰참가자격.1 and 1 other fieldsHigh correlation
하자보증율 is highly overall correlated with 입찰참가자격.1 and 3 other fieldsHigh correlation
납품기간 is highly overall correlated with 예산금액 and 4 other fieldsHigh correlation
예산금액 is highly overall correlated with 입찰참가자격.1 and 2 other fieldsHigh correlation
입찰공고번호차수 is highly imbalanced (83.1%)Imbalance
납품기간 is highly imbalanced (78.7%)Imbalance
입찰참가신청시작시각 has 89 (34.2%) missing valuesMissing
입찰참가신청종료시각 has 89 (34.2%) missing valuesMissing
개찰일시 has 71 (27.3%) missing valuesMissing
예산금액 has 18 (6.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:18:37.130426
Analysis finished2023-12-12 20:18:39.615889
Duration2.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고번호
Text

Distinct246
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T05:18:39.785403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2860
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)91.9%

Sample

1st row2023-000001
2nd row2023-000002
3rd row2023-000003
4th row2023-000004
5th row2023-000005
ValueCountFrequency (%)
2023-000037 5
 
1.9%
2023-000057 4
 
1.5%
2023-000062 3
 
1.2%
2023-000016 3
 
1.2%
2023-000047 2
 
0.8%
2023-000116 2
 
0.8%
2023-000234 2
 
0.8%
2023-000166 1
 
0.4%
2023-000172 1
 
0.4%
2023-000163 1
 
0.4%
Other values (236) 236
90.8%
2023-12-13T05:18:40.244552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1201
42.0%
2 628
22.0%
3 320
 
11.2%
- 260
 
9.1%
1 158
 
5.5%
4 55
 
1.9%
7 52
 
1.8%
6 49
 
1.7%
5 48
 
1.7%
8 45
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2600
90.9%
Dash Punctuation 260
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1201
46.2%
2 628
24.2%
3 320
 
12.3%
1 158
 
6.1%
4 55
 
2.1%
7 52
 
2.0%
6 49
 
1.9%
5 48
 
1.8%
8 45
 
1.7%
9 44
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1201
42.0%
2 628
22.0%
3 320
 
11.2%
- 260
 
9.1%
1 158
 
5.5%
4 55
 
1.9%
7 52
 
1.8%
6 49
 
1.7%
5 48
 
1.7%
8 45
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1201
42.0%
2 628
22.0%
3 320
 
11.2%
- 260
 
9.1%
1 158
 
5.5%
4 55
 
1.9%
7 52
 
1.8%
6 49
 
1.7%
5 48
 
1.7%
8 45
 
1.6%

입찰공고번호차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
1
246 
2
 
7
3
 
4
4
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 246
94.6%
2 7
 
2.7%
3 4
 
1.5%
4 2
 
0.8%
5 1
 
0.4%

Length

2023-12-13T05:18:40.400146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:40.513511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 246
94.6%
2 7
 
2.7%
3 4
 
1.5%
4 2
 
0.8%
5 1
 
0.4%

입찰건명
Text

Distinct156
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T05:18:40.779462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length35.5
Mean length24.753846
Min length9

Characters and Unicode

Total characters6436
Distinct characters330
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)34.6%

Sample

1st row2022 LX지속가능경영보고서 발간 용역
2nd row2023년도 고객기념품(골프공) 구매
3rd row2023년도 고객기념품(우산) 구매
4th row2023년도 고객기념품(천연비누세트) 구매
5th row열섬-미세먼지 현황분석 서비스 및 디지털 트윈대전 플랫폼 유지관리 모듈 개발
ValueCountFrequency (%)
용역 68
 
4.9%
2023년 60
 
4.3%
및 55
 
3.9%
구입 45
 
3.2%
구축 32
 
2.3%
2023년도 23
 
1.6%
주소기반 23
 
1.6%
사업 17
 
1.2%
제작 17
 
1.2%
공간정보 17
 
1.2%
Other values (375) 1039
74.4%
2023-12-13T05:18:41.225141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1146
 
17.8%
2 214
 
3.3%
구 142
 
2.2%
용 129
 
2.0%
3 116
 
1.8%
역 115
 
1.8%
지 110
 
1.7%
정 102
 
1.6%
0 102
 
1.6%
보 96
 
1.5%
Other values (320) 4164
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4396
68.3%
Space Separator 1146
 
17.8%
Decimal Number 475
 
7.4%
Uppercase Letter 193
 
3.0%
Open Punctuation 88
 
1.4%
Close Punctuation 88
 
1.4%
Lowercase Letter 24
 
0.4%
Dash Punctuation 14
 
0.2%
Other Punctuation 11
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 142
 
3.2%
용 129
 
2.9%
역 115
 
2.6%
지 110
 
2.5%
정 102
 
2.3%
보 96
 
2.2%
사 88
 
2.0%
년 87
 
2.0%
주 81
 
1.8%
기 76
 
1.7%
Other values (271) 3370
76.7%
Uppercase Letter
ValueCountFrequency (%)
S 27
14.0%
L 22
11.4%
I 17
 
8.8%
D 15
 
7.8%
X 15
 
7.8%
A 14
 
7.3%
G 11
 
5.7%
P 10
 
5.2%
N 8
 
4.1%
U 7
 
3.6%
Other values (12) 47
24.4%
Lowercase Letter
ValueCountFrequency (%)
n 6
25.0%
a 4
16.7%
d 4
16.7%
e 3
12.5%
o 2
 
8.3%
p 2
 
8.3%
t 1
 
4.2%
u 1
 
4.2%
z 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 214
45.1%
3 116
24.4%
0 102
21.5%
4 23
 
4.8%
1 8
 
1.7%
5 4
 
0.8%
6 4
 
0.8%
9 4
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 6
54.5%
· 3
27.3%
/ 2
 
18.2%
Open Punctuation
ValueCountFrequency (%)
( 82
93.2%
[ 6
 
6.8%
Close Punctuation
ValueCountFrequency (%)
) 82
93.2%
] 6
 
6.8%
Space Separator
ValueCountFrequency (%)
1146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4396
68.3%
Common 1823
28.3%
Latin 217
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 142
 
3.2%
용 129
 
2.9%
역 115
 
2.6%
지 110
 
2.5%
정 102
 
2.3%
보 96
 
2.2%
사 88
 
2.0%
년 87
 
2.0%
주 81
 
1.8%
기 76
 
1.7%
Other values (271) 3370
76.7%
Latin
ValueCountFrequency (%)
S 27
 
12.4%
L 22
 
10.1%
I 17
 
7.8%
D 15
 
6.9%
X 15
 
6.9%
A 14
 
6.5%
G 11
 
5.1%
P 10
 
4.6%
N 8
 
3.7%
U 7
 
3.2%
Other values (21) 71
32.7%
Common
ValueCountFrequency (%)
1146
62.9%
2 214
 
11.7%
3 116
 
6.4%
0 102
 
5.6%
( 82
 
4.5%
) 82
 
4.5%
4 23
 
1.3%
- 14
 
0.8%
1 8
 
0.4%
, 6
 
0.3%
Other values (8) 30
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4396
68.3%
ASCII 2037
31.7%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1146
56.3%
2 214
 
10.5%
3 116
 
5.7%
0 102
 
5.0%
( 82
 
4.0%
) 82
 
4.0%
S 27
 
1.3%
4 23
 
1.1%
L 22
 
1.1%
I 17
 
0.8%
Other values (38) 206
 
10.1%
Hangul
ValueCountFrequency (%)
구 142
 
3.2%
용 129
 
2.9%
역 115
 
2.6%
지 110
 
2.5%
정 102
 
2.3%
보 96
 
2.2%
사 88
 
2.0%
년 87
 
2.0%
주 81
 
1.8%
기 76
 
1.7%
Other values (271) 3370
76.7%
None
ValueCountFrequency (%)
· 3
100.0%

공고일자
Date

Distinct118
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2023-01-11 00:00:00
Maximum2023-09-21 00:00:00
2023-12-13T05:18:41.365782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:41.494301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입찰참가자격
Text

Distinct246
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T05:18:41.700417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2860
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)91.9%

Sample

1st row2023-000001
2nd row2023-000002
3rd row2023-000003
4th row2023-000004
5th row2023-000005
ValueCountFrequency (%)
2023-000037 5
 
1.9%
2023-000057 4
 
1.5%
2023-000062 3
 
1.2%
2023-000016 3
 
1.2%
2023-000047 2
 
0.8%
2023-000116 2
 
0.8%
2023-000234 2
 
0.8%
2023-000166 1
 
0.4%
2023-000172 1
 
0.4%
2023-000163 1
 
0.4%
Other values (236) 236
90.8%
2023-12-13T05:18:42.042263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1201
42.0%
2 628
22.0%
3 320
 
11.2%
- 260
 
9.1%
1 158
 
5.5%
4 55
 
1.9%
7 52
 
1.8%
6 49
 
1.7%
5 48
 
1.7%
8 45
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2600
90.9%
Dash Punctuation 260
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1201
46.2%
2 628
24.2%
3 320
 
12.3%
1 158
 
6.1%
4 55
 
2.1%
7 52
 
2.0%
6 49
 
1.9%
5 48
 
1.8%
8 45
 
1.7%
9 44
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1201
42.0%
2 628
22.0%
3 320
 
11.2%
- 260
 
9.1%
1 158
 
5.5%
4 55
 
1.9%
7 52
 
1.8%
6 49
 
1.7%
5 48
 
1.7%
8 45
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1201
42.0%
2 628
22.0%
3 320
 
11.2%
- 260
 
9.1%
1 158
 
5.5%
4 55
 
1.9%
7 52
 
1.8%
6 49
 
1.7%
5 48
 
1.7%
8 45
 
1.6%

입찰참가자격.1
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
공고문 참조
171 
<NA>
89 

Length

Max length6
Median length6
Mean length5.3153846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공고문 참조
2nd row공고문 참조
3rd row공고문 참조
4th row공고문 참조
5th row공고문 참조

Common Values

ValueCountFrequency (%)
공고문 참조 171
65.8%
<NA> 89
34.2%

Length

2023-12-13T05:18:42.199687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:42.332164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공고문 171
39.7%
참조 171
39.7%
na 89
20.6%

지체상금율
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
0.125
117 
<NA>
89 
0.075
53 
0.05
 
1

Length

Max length5
Median length5
Mean length4.6538462
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0.125
2nd row0.075
3rd row0.075
4th row0.075
5th row0.125

Common Values

ValueCountFrequency (%)
0.125 117
45.0%
<NA> 89
34.2%
0.075 53
20.4%
0.05 1
 
0.4%

Length

2023-12-13T05:18:42.454376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:42.551920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.125 117
45.0%
na 89
34.2%
0.075 53
20.4%
0.05 1
 
0.4%

하자보증율
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
5.0
170 
<NA>
89 
7.5
 
1

Length

Max length4
Median length3
Mean length3.3423077
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 170
65.4%
<NA> 89
34.2%
7.5 1
 
0.4%

Length

2023-12-13T05:18:42.666824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:42.761095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 170
65.4%
na 89
34.2%
7.5 1
 
0.4%

납품장소
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
207 
공사 지정장소
53 

Length

Max length7
Median length4
Mean length4.6115385
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row공사 지정장소
3rd row공사 지정장소
4th row공사 지정장소
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 207
79.6%
공사 지정장소 53
 
20.4%

Length

2023-12-13T05:18:42.873374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:42.972325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 207
66.1%
공사 53
 
16.9%
지정장소 53
 
16.9%

납품기간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
233 
계약일로부터 45일 이내
 
14
계약일로부터 3개월
 
3
계약일로부터 90일 이내
 
2
계약일로부터 70일
 
2
Other values (6)
 
6

Length

Max length23
Median length4
Mean length4.8692308
Min length4

Unique

Unique6 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 233
89.6%
계약일로부터 45일 이내 14
 
5.4%
계약일로부터 3개월 3
 
1.2%
계약일로부터 90일 이내 2
 
0.8%
계약일로부터 70일 2
 
0.8%
계약일로부터 60일 이내 1
 
0.4%
계약일로부터 2023년 12월 31일까지. 1
 
0.4%
계약일로부터 80일 1
 
0.4%
규격서 참조 1
 
0.4%
계약 후 15일 이내 1
 
0.4%

Length

2023-12-13T05:18:43.071395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 233
75.4%
계약일로부터 25
 
8.1%
이내 19
 
6.1%
45일 14
 
4.5%
3개월 3
 
1.0%
90일 2
 
0.6%
70일 2
 
0.6%
규격서 1
 
0.3%
15일 1
 
0.3%
후 1
 
0.3%
Other values (8) 8
 
2.6%

입찰참가신청시작시각
Date

MISSING 

Distinct99
Distinct (%)57.9%
Missing89
Missing (%)34.2%
Memory size2.2 KiB
Minimum2023-01-12 09:00:00
Maximum2023-09-25 09:00:00
2023-12-13T05:18:43.184763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:43.300122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입찰참가신청종료시각
Date

MISSING 

Distinct94
Distinct (%)55.0%
Missing89
Missing (%)34.2%
Memory size2.2 KiB
Minimum2023-01-25 18:00:00
Maximum2023-10-04 18:00:00
2023-12-13T05:18:43.414734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:43.530151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입찰서제출시작시각
Date

Distinct161
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2023-01-12 09:00:00
Maximum2023-09-25 09:00:00
2023-12-13T05:18:43.646565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:43.766334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입찰서제출종료시각
Date

Distinct194
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2023-01-18 17:00:00
Maximum2023-10-05 15:00:00
2023-12-13T05:18:43.901925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:44.032623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개찰일시
Date

MISSING 

Distinct142
Distinct (%)75.1%
Missing71
Missing (%)27.3%
Memory size2.2 KiB
Minimum2023-01-30 13:00:00
Maximum2023-10-11 15:00:00
2023-12-13T05:18:44.207309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:18:44.368327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

품목명
Text

Distinct167
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T05:18:44.677605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length32
Mean length20.253846
Min length2

Characters and Unicode

Total characters5266
Distinct characters338
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)45.8%

Sample

1st row2022 LX지속가능경영보고서 발간
2nd row2023년도 고객기념품(골프공) 구매
3rd row2023년도 고객기념품(우산) 구매
4th row2023년도 고객기념품(천연비누세트) 구매
5th row열섬-미세먼지 현황분석 서비스 및 디지털 트윈대전 플랫폼 유지관리 모듈 개발
ValueCountFrequency (%)
및 54
 
4.5%
용역 33
 
2.8%
2023년 31
 
2.6%
구축 26
 
2.2%
주소기반 23
 
1.9%
참고 18
 
1.5%
2023년도 16
 
1.3%
첨부파일 15
 
1.3%
자율주행차 15
 
1.3%
한국국토정보공사 15
 
1.3%
Other values (385) 944
79.3%
2023-12-13T05:18:45.168592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
941
 
17.9%
2 128
 
2.4%
지 97
 
1.8%
정 83
 
1.6%
보 82
 
1.6%
주 81
 
1.5%
구 80
 
1.5%
사 78
 
1.5%
용 69
 
1.3%
역 68
 
1.3%
Other values (328) 3559
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3730
70.8%
Space Separator 941
 
17.9%
Decimal Number 304
 
5.8%
Uppercase Letter 122
 
2.3%
Close Punctuation 65
 
1.2%
Open Punctuation 65
 
1.2%
Lowercase Letter 20
 
0.4%
Other Punctuation 12
 
0.2%
Dash Punctuation 6
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 97
 
2.6%
정 83
 
2.2%
보 82
 
2.2%
주 81
 
2.2%
구 80
 
2.1%
사 78
 
2.1%
용 69
 
1.8%
역 68
 
1.8%
리 67
 
1.8%
시 64
 
1.7%
Other values (279) 2961
79.4%
Uppercase Letter
ValueCountFrequency (%)
S 15
12.3%
D 14
11.5%
L 11
 
9.0%
I 10
 
8.2%
A 9
 
7.4%
P 8
 
6.6%
X 8
 
6.6%
K 7
 
5.7%
G 5
 
4.1%
R 5
 
4.1%
Other values (12) 30
24.6%
Decimal Number
ValueCountFrequency (%)
2 128
42.1%
3 67
22.0%
0 61
20.1%
4 22
 
7.2%
1 14
 
4.6%
6 6
 
2.0%
9 4
 
1.3%
5 2
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
n 4
20.0%
i 4
20.0%
m 3
15.0%
e 2
10.0%
o 2
10.0%
d 2
10.0%
a 2
10.0%
z 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 9
75.0%
· 1
 
8.3%
/ 1
 
8.3%
？ 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 64
98.5%
] 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 64
98.5%
[ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
941
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3730
70.8%
Common 1394
 
26.5%
Latin 142
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 97
 
2.6%
정 83
 
2.2%
보 82
 
2.2%
주 81
 
2.2%
구 80
 
2.1%
사 78
 
2.1%
용 69
 
1.8%
역 68
 
1.8%
리 67
 
1.8%
시 64
 
1.7%
Other values (279) 2961
79.4%
Latin
ValueCountFrequency (%)
S 15
 
10.6%
D 14
 
9.9%
L 11
 
7.7%
I 10
 
7.0%
A 9
 
6.3%
P 8
 
5.6%
X 8
 
5.6%
K 7
 
4.9%
G 5
 
3.5%
R 5
 
3.5%
Other values (20) 50
35.2%
Common
ValueCountFrequency (%)
941
67.5%
2 128
 
9.2%
3 67
 
4.8%
) 64
 
4.6%
( 64
 
4.6%
0 61
 
4.4%
4 22
 
1.6%
1 14
 
1.0%
, 9
 
0.6%
6 6
 
0.4%
Other values (9) 18
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3730
70.8%
ASCII 1534
29.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
941
61.3%
2 128
 
8.3%
3 67
 
4.4%
) 64
 
4.2%
( 64
 
4.2%
0 61
 
4.0%
4 22
 
1.4%
S 15
 
1.0%
D 14
 
0.9%
1 14
 
0.9%
Other values (37) 144
 
9.4%
Hangul
ValueCountFrequency (%)
지 97
 
2.6%
정 83
 
2.2%
보 82
 
2.2%
주 81
 
2.2%
구 80
 
2.1%
사 78
 
2.1%
용 69
 
1.8%
역 68
 
1.8%
리 67
 
1.8%
시 64
 
1.7%
Other values (279) 2961
79.4%
None
ValueCountFrequency (%)
· 1
50.0%
？ 1
50.0%

예산금액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct111
Distinct (%)45.9%
Missing18
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean1.7650926 × 108
Minimum28000000
Maximum1.654554 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T05:18:45.676662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28000000
5-th percentile43100000
Q170000000
median1.23875 × 108
Q31.87 × 108
95-th percentile4.5 × 108
Maximum1.654554 × 109
Range1.626554 × 109
Interquartile range (IQR)1.17 × 108

Descriptive statistics

Standard deviation2.4127835 × 108
Coefficient of variation (CV)1.3669444
Kurtosis19.381918
Mean1.7650926 × 108
Median Absolute Deviation (MAD)54663000
Skewness4.262841
Sum4.2715241 × 1010
Variance5.8215242 × 1016
MonotonicityNot monotonic
2023-12-13T05:18:45.860209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170000000 12
 
4.6%
60000000 9
 
3.5%
69212000 8
 
3.1%
70000000 8
 
3.1%
220000000 7
 
2.7%
150000000 6
 
2.3%
162624000 5
 
1.9%
200000000 5
 
1.9%
145000000 4
 
1.5%
88000000 4
 
1.5%
Other values (101) 174
66.9%
(Missing) 18
 
6.9%
ValueCountFrequency (%)
28000000 2
0.8%
29526000 1
0.4%
30000000 2
0.8%
30360000 1
0.4%
32690000 1
0.4%
35640000 1
0.4%
35959000 1
0.4%
36537600 1
0.4%
40000000 1
0.4%
43000000 2
0.8%
ValueCountFrequency (%)
1654554000 2
0.8%
1310000000 2
0.8%
1301000000 2
0.8%
1019788000 3
1.2%
886751250 1
 
0.4%
461486400 2
0.8%
450000000 2
0.8%
350000000 1
 
0.4%
300000000 1
 
0.4%
280500000 1
 
0.4%

Interactions

2023-12-13T05:18:38.862825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:18:45.996915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입찰공고번호차수지체상금율하자보증율납품기간입찰참가신청시작시각입찰참가신청종료시각예산금액
입찰공고번호차수1.0000.3060.0000.0000.0000.0000.278
지체상금율0.3061.0001.000NaN0.9520.9590.200
하자보증율0.0001.0001.000NaN1.0001.0000.000
납품기간0.000NaNNaN1.0000.9660.9660.901
입찰참가신청시작시각0.0000.9521.0000.9661.0000.9970.915
입찰참가신청종료시각0.0000.9591.0000.9660.9971.0000.830
예산금액0.2780.2000.0000.9010.9150.8301.000
2023-12-13T05:18:46.156160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입찰참가자격.1납품장소지체상금율입찰공고번호차수하자보증율납품기간
입찰참가자격.11.0001.0001.0001.0001.0001.000
납품장소1.0001.0001.0001.0001.0001.000
지체상금율1.0001.0001.0000.2410.9971.000
입찰공고번호차수1.0001.0000.2411.0000.0000.000
하자보증율1.0001.0000.9970.0001.0001.000
납품기간1.0001.0001.0000.0001.0001.000
2023-12-13T05:18:46.319100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산금액입찰공고번호차수입찰참가자격.1지체상금율하자보증율납품장소납품기간
예산금액1.0000.1811.0000.1320.0001.0000.716
입찰공고번호차수0.1811.0001.0000.2410.0001.0000.000
입찰참가자격.11.0001.0001.0001.0001.0001.0001.000
지체상금율0.1320.2411.0001.0000.9971.0001.000
하자보증율0.0000.0001.0000.9971.0001.0001.000
납품장소1.0001.0001.0001.0001.0001.0001.000
납품기간0.7160.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T05:18:39.057095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:18:39.332016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T05:18:39.505634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

공고번호입찰공고번호차수입찰건명공고일자입찰참가자격입찰참가자격.1지체상금율하자보증율납품장소납품기간입찰참가신청시작시각입찰참가신청종료시각입찰서제출시작시각입찰서제출종료시각개찰일시품목명예산금액
02023-00000112022 LX지속가능경영보고서 발간 용역2023-01-112023-000001공고문 참조0.1255.0<NA><NA>2023-01-12 09:002023-01-25 18:002023-01-12 09:002023-01-26 15:002023-01-30 14:002022 LX지속가능경영보고서 발간82500000
12023-00000212023년도 고객기념품(골프공) 구매2023-01-112023-000002공고문 참조0.0755.0공사 지정장소<NA>2023-01-12 09:002023-01-25 18:002023-01-12 09:002023-01-26 14:002023-01-30 13:002023년도 고객기념품(골프공) 구매120000000
22023-00000312023년도 고객기념품(우산) 구매2023-01-112023-000003공고문 참조0.0755.0공사 지정장소<NA>2023-01-12 09:002023-01-25 18:002023-01-12 09:002023-01-26 14:002023-01-30 13:002023년도 고객기념품(우산) 구매90000000
32023-00000412023년도 고객기념품(천연비누세트) 구매2023-01-112023-000004공고문 참조0.0755.0공사 지정장소<NA>2023-01-12 09:002023-01-25 18:002023-01-12 09:002023-01-26 14:002023-01-30 13:002023년도 고객기념품(천연비누세트) 구매135000000
42023-0000051열섬-미세먼지 현황분석 서비스 및 디지털 트윈대전 플랫폼 유지관리 모듈 개발2023-01-132023-000005공고문 참조0.1255.0<NA><NA>2023-01-13 09:002023-01-30 18:002023-01-13 09:002023-01-31 15:002023-02-03 15:00열섬-미세먼지 현황분석 서비스 및 디지털 트윈대전 플랫폼 유지관리 모듈 개발300000000
52023-00000612023년 LX국토정보기본도 시스템 운영 및 유지관리 용역2023-01-182023-000006<NA><NA><NA><NA><NA><NA><NA>2023-01-18 15:002023-01-18 17:00<NA>2023년 LX국토정보기본도 시스템 운영 및 유지관리195000000
62023-0000071정부정책(지방소멸기금 활용) 제안 및 플랫폼 확산을 위한 ISP 용역2023-01-182023-000007<NA><NA><NA><NA><NA><NA><NA>2023-01-19 10:002023-01-19 14:00<NA>정부정책(지방소멸기금 활용) 제안 및 플랫폼 확산을 위한 ISP 용역150000000
72023-00000812023년 정기간행물 공간정보매거진 제작 용역2023-01-202023-000008공고문 참조0.1255.0<NA><NA>2023-01-20 09:002023-02-03 18:002023-01-20 09:002023-02-06 16:002023-02-08 15:002023년 정기간행물 공간정보매거진 제작 용역142560000
82023-0000091LX 고객만족도 통합조사 용역2023-01-192023-000009공고문 참조0.1255.0<NA><NA>2023-01-20 09:002023-02-03 11:002023-01-20 09:002023-02-03 14:002023-02-07 15:00LX 고객만족도 통합조사 용역207900000
92023-0000101스마트 충북 공간정보 플랫폼 구축사업(3단계) 감리용역2023-01-312023-000010공고문 참조0.1255.0<NA><NA>2023-02-01 09:002023-02-14 18:002023-02-01 09:002023-02-15 14:002023-02-17 15:00스마트 충북 공간정보 플랫폼 구축사업(3단계) 감리용역82000000
공고번호입찰공고번호차수입찰건명공고일자입찰참가자격입찰참가자격.1지체상금율하자보증율납품장소납품기간입찰참가신청시작시각입찰참가신청종료시각입찰서제출시작시각입찰서제출종료시각개찰일시품목명예산금액
2502023-00024112023년도 LED램프(임야측량용) 구입2023-09-072023-000241공고문 참조0.0755.0공사 지정장소<NA>2023-09-08 09:002023-09-14 18:002023-09-08 09:002023-09-15 14:002023-09-19 14:002023년도 LED램프(임야측량용) 구입35959000
2512023-0002421측량용품(토탈스테이션 삼각대 외 6종) 구입2023-09-072023-000242공고문 참조0.0755.0공사 지정장소계약일로부터 3개월2023-09-08 09:002023-09-12 18:002023-09-08 09:002023-09-12 18:002023-09-14 14:00삼각대 외152782850
2522023-0002431운영자금 차입을 위한 금융기관 선정2023-09-122023-000243<NA><NA><NA><NA><NA><NA><NA>2023-09-20 14:002023-09-20 14:202023-09-20 14:20운영자금 차입을 위한 금융기관 선정<NA>
2532023-00024413D산단 홍보체험관 콘텐츠 제작 용역2023-09-122023-000244<NA><NA><NA><NA><NA><NA><NA>2023-09-12 17:002023-09-12 18:00<NA>3D산단 홍보체험관 콘텐츠 제작 용역 수의시담 실시180000000
2542023-0002451도로시설물 사물주소 DB 시범구축2023-09-182023-000245공고문 참조0.1255.0<NA><NA>2023-09-21 09:002023-10-04 18:002023-09-21 09:002023-10-05 14:002023-10-10 15:00도로시설물 사물주소 DB 시범구축100000000
2552023-0002461측량용품(토탈스테이션 삼각대 외 6종) 구입2023-09-192023-000246<NA><NA><NA><NA><NA><NA><NA>2023-09-19 14:002023-09-19 16:00<NA>삼각대 외138893500
2562023-00024713D 의사결정지원시스템 2차 개발 사업2023-09-192023-000247<NA><NA><NA><NA><NA><NA><NA>2023-09-19 10:002023-09-19 12:00<NA>3D 의사결정지원시스템 2차 개발 사업148500000
2572023-0002481LX데이터 허브(자원화) 구축 사업 감리 용역2023-09-192023-000248공고문 참조0.1255.0<NA><NA>2023-09-25 09:002023-10-04 18:002023-09-25 09:002023-10-05 15:002023-10-10 15:00LX데이터 허브(자원화) 구축 사업 감리 용역95000000
2582023-0002491건축물 안전해체 통합시스템 리포지토리 구축 용역2023-09-202023-000249공고문 참조0.1255.0<NA><NA>2023-09-20 09:002023-10-04 18:002023-09-20 09:002023-10-05 15:002023-10-11 15:00건축물 안전해체 통합시스템 리포지토리 구축 사업198000000
2592023-0002501UAM 가상운용 분석지원 저작도구 시제품 제작2023-09-212023-000250공고문 참조0.1255.0<NA><NA>2023-09-21 09:002023-10-04 14:002023-09-21 09:002023-10-04 18:002023-10-06 14:00첨부파일 참고40000000